This module provides students with valuable real-world work experience through a structured internship program within industry partners. As one of the pathway options in Semester 3, Internship 1 focuses on foundational professional skills development and initial exposure to industrial manufacturing environments. Students will work within manufacturing, engineering, or related organizations for approximately 6 months, gaining hands-on experience in intelligent manufacturing, industrial operations, and professional workplace environments. The internship operates within a dual‑supervision framework (named academic supervisor plus industrial supervisor/mentor, where applicable) with guided autonomy. The module prepares students for flexible Semester 4 progression, offering choice between Internship 2 (recommended for continued industry-focused learning and dissertation development) or Research Project 2 (for transition to academic research-based final projects). Aligned with the programme's syntegrative education philosophy, the module delivers meaningful industry engagement while developing practical and analytical skills that support either pathway choice. Placements commence only after a concise project scoping and approval step to ensure academic rigour and feasibility. A published contingency ensures continuity: if an external internship cannot be secured by the milestone, students route to an equivalently resourced research pathway or on‑campus work‑integrated alternative. This module explicitly prepares progression to Semester 4 by differentiating Internship 2 (higher independence and dissertation‑level innovation) and Research Project 2 (academic dissertation execution).
A Demonstrate professional self‑management in the workplace, including initiative, adaptability, accountability B Engage effectively with diverse stakeholders through clear, inclusive communication and collaboration, showing appropriate professional conduct, including effective interaction with academic and industrial supervisors C Deliver results in an industrial setting by organizing tasks and applying creative, data‑informed problem solving, aligned with an approved project scope D Apply critical thinking and reflective practice to evaluate progress, incorporate supervisor feedback, and drive continuous improvement in professional performance E Identify, analyze, and present industrial case studies through effective technical presentations and comprehensive reports, noting relevant ethics/data‑governance considerations F Reflect critically on learning experiences and career pathway preferences to make informed decisions for Semester 4 progression, evidencing readiness for Internship 2 or Research Project 2
The teaching philosophy of the module adopts the philosophy of Syntegrative Education. This has meant that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contribution from industry partners. This philosophy is carried through also in terms of assessment, with reduction on the use of exams and increase in coursework, especially the use of problem-based assessment which is project focused. The delivery pattern provides space in the semester for students to concentrate on completing the assessments. Projects commence only after a concise project scoping and approval step to ensure appropriate academic rigour and feasibility. The module provides structured industry placements through partnerships between university academic staff and a range of organizations across the public, private and industrial sectors. The School of IME has established strong ties with industrial stakeholders such as Haier, Bosch, Sinnotech, and others, providing diverse placement opportunities for students. Alongside the internship, students will be provided with comprehensive support including informational material on workplace cultures, project management, CVs, interview techniques, presentation skills and career options. During the internship, students will be attached to the company whilst following an industrial supervisor, with regular guidance from academic supervisors to ensure continuous learning and professional development. Delivery is under a dual‑supervision framework with named academic and industrial supervisors (or industry mentor, where applicable), a minimum bi‑weekly academic meeting cadence, monthly tri‑partite meetings, and agreed asynchronous check‑ins. A documented conflict‑resolution pathway supports timely issue management. Where an external placement cannot be secured by the published milestone, students route to an equivalently resourced Research Pathway on‑campus